Research On Design And Application Of Swarm Intelligence Inspired Reputation Incentive Model

With the development of the Internet and the digital age,human behavior patterns have undergone qualitative changes,and the intersection with the Internet has become increasingly close,which has led to a geometric increase in the amount of digital information,and more transactions in real-life items have also occurred online.Information storage methods and transaction scenarios will become more extensive.Due to the dematerialization of Internet transactions and the immaturity of virtual currency technology,many security problems such as false transactions and information leakage have appeared.At the same time,it is difficult to effectively protect the digital certificates of people’s private property.Swarm intelligence,as a basic theory in many fields such as artificial intelligence,big data,Internet of Things,and blockchain technology,can essentially standardize individual behavior patterns in the Internet without the constraints of centralized control and global structure.Provides an important reference idea for solving the problems existing in Internet transactions.On the other hand,blockchain technology provides a technical solution for the trust and security problems of centralized transactions.Therefore,how to effectively combine swarm intelligence and blockchain technology has become one of the important topics of current research.The reputation model and incentive mechanism as the core strategy under the application of blockchain technology can effectively incentivize all participating entities to provide honest and effective services,and promote the security and stability of the entire transaction system.However,the existing reputation models are based on the transaction scenario framework.In addition,there is no going deep into the scene to restrict the misbehavior of participating entities from the root cause.Therefore,based on the underlying theory of swarm intelligence,this paper analyzes the behavior paradigm and motivation of nodes in various application scenarios,and proposes a reputation model for long-term incentives.The main work of this paper is as follows:(1)A new reputation incentive model is proposed.Aiming at the problem of value separation in traditional reputation models,this paper uses the theory and methods of group intelligence to penetrate the model through the value carrier,through the incentive mechanism to regulate the behavior of nodes in essence,and proposes a reputation incentive model Token Trust that pursues long-term benefits.In this model,the credit value of the individual is directly linked to the value of the token,which effectively restrains short-term opportunistic behavior and solves many security problems in large-scale group behavior.And through simulation experiments and three classic reputation models for simulation comparison experiments,the simulation experiments show that the reputation model proposed in this paper can effectively detect the trust attacks of entities,and has better results compared with several classic reputation models.(2)A new attempt was made in the actual application scenario of the blockchain.Based on the current status of the application of the reputation mechanism of blockchain applications,this article puts the reputation model proposed in this article into a real blockchain transaction scenario to verify the feasibility of the model.For this reason,this article builds a corresponding blockchain game demo based on the blockchain network environment,which is used to simulate the item transaction between two nodes.The core parameters and execution logic of the model are written into the smart contract through the blockchain platform.The disciplinary mechanism of the model is automatically triggered.The experimental results show that the core attributes of the props provided by nodes with lower reputation will be punished by smart contracts.Therefore,this model is feasible in the blockchain props transaction scenario,and it will also provide group intelligence incentives for various online transaction scenarios in the future.It has an effective reference value and has a certain application value.